Synopsys Off Campus 2025 | Technical Support Engineer

Synopsys Off Campus 2025:

Synopsys Career 2025 Responsibilities:

• Deploy and utilize the full suite of Ansys Technical Support Toolset, including AI-driven platforms like Ansys Innovation Space and AnsysGPT, to resolve customer engineering challenges.
• Provide technical post-sales support, ensuring customers receive fast, accurate, and relevant solutions to their simulation and integration questions.
• Develop subject matter expertise in Ansys simulation products and applications, staying ahead of industry trends and emerging technologies.
• Create, update, and share technical content for your focus area to empower both customers and internal colleagues with up-to-date information.
• Design, develop, and deploy end-to-end AI solutions, with a focus on leveraging Large Language Models (LLMs) to enhance customer support.
• Conduct testing, debugging, and performance optimization of AI applications, ensuring reliability and scalability for customer-facing tools.
• File defect reports, verify software fixes, and participate in field testing of new product releases to ensure customer requirements are met.
• Collaborate with Sales and Marketing teams to provide expert-level support and insights as needed.
• Promote the use of AI-based technologies to boost engineering support capabilities and customer satisfaction.

Synopsys off campus Eligibility Criteria:

• BE/BTech in Mechanical/Aerospace Engineering, BS or MS in Computer Science, Engineering, or related field.

Preferred skill:

• Proficiency in logical problem-solving and analytical thinking for complex technical challenges.
• Strong interpersonal and communication skills; fluency in written and spoken English.
• Organizational and time management skills, with a sense of urgency and accountability.
• Ability to work independently and collaboratively in diverse team environments.
• Experience with relevant Ansys software or other commercial CAE, CAD, EDA, PLM packages preferred.
• Background in foundational AI models and hands-on experience with Large Language Models (LLMs) is a significant plus.
• Knowledge of machine learning, deep learning, and experience developing solutions using Python is advantageous.
• Willingness to travel domestically up to 10% of the time.

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Synopsys Recruitment Selection Process:

The selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

1. Online Application: The process begins with candidates submitting their applications through the official careers website
2. Resume Screening: The Company’s recruitment team reviews the applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities.
4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews.
5. Offer: Candidates who successfully complete all interview stages and reference checks will receive a formal job offer.
6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

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